Journal ArticleDOI
Fuzzy approach to select machining parameters in electrical discharge machining (EDM) and ultrasonic-assisted EDM processes
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TLDR
In this article, a fuzzy-based algorithm for predicting material removal rate (MRR), tool wear ratio (TWR), and surface roughness (R z, R k ) in the EDM and ultrasonic-assisted EDM (US/EDM) processes is introduced.About:
This article is published in Journal of Manufacturing Systems.The article was published on 2013-01-01. It has received 95 citations till now. The article focuses on the topics: Machining & Electrical discharge machining.read more
Citations
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Fuzzy logic for modeling machining process: a review
TL;DR: Five types of analysis on the abilities, limitations and effectual modifications of FL in modeling based on the comments from previous works that conduct experiment using FL in the modeling and review by few authors lead the author to conclude that FL is the most popular AI techniques used in modeling of machining process.
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Prediction and optimization of surface roughness and micro-hardness using grnn and MOORA-fuzzy-a MCDM approach for nitinol in WEDM
Himadri Majumder,Kalipada Maity +1 more
TL;DR: In this paper, a general regression neural network (GRNN) model was developed to precisely predict and compare few significant WEDM machinability aspects like surface roughness [arithmetic mean roughness (Ra), root mean square roughness and maximum peak-to-valley height (Rz)] and micro-hardness (MH) of shape memory alloy nitinol.
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Electric discharge machining of titanium and its alloys: review
Jaber Abu Qudeiri,Abdel-Hamed I. Mourad,Aiman Ziout,Mustufa Haider Abidi,Ahmed Elkaseer,Ahmed Elkaseer +5 more
TL;DR: In this paper, the experimental and theoretical studies on EDM that aimed to improve the process performance, including material removal rate, surface quality, and tool wear rate, among others.
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Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach
TL;DR: In this paper, grey-fuzzy logic-based hybrid optimization technique is utilized to determine the optimal settings of EDM process parameters with an aim to improve surface integrity aspects after EDM of AISI P20 tool steel.
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Application of GRNN and multivariate hybrid approach to predict and optimize WEDM responses for Ni-Ti shape memory alloy
Himadri Majumder,Kalipada Maity +1 more
TL;DR: The adequacy of the multivariate VIKOR-Fuzzy approach was verified by performing confirmation test which exhibited improvement in WEDM responses.
References
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Journal ArticleDOI
Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics
TL;DR: In this article, the application of the Taguchi method with fuzzy logic for optimizing the electrical discharge machining process with multiple performance characteristics has been reported, where a multi-response performance index is used to solve the Electrical Discharge Machining Process with Multiple Performance Attributes (EDMP) problem.
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An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
TL;DR: An adaptive neuro-fuzzy inference system (ANFIS) model has been developed for the prediction of the white layer thickness (WLT) and the average surface roughness achieved as a function of the process parameters.
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Predictions on surface finish in electrical discharge machining based upon neural network models
Kuo-Ming Tsai,Pei-Jen Wang +1 more
TL;DR: Comparisons on predictions of surface finish for various work materials with the change of electrode polarity based upon six different neural-networks models and a neuro-fuzzy network have been illustrated and it is concluded that the further experimental results have agreed to the predictions based upon the above four models.
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The use of grey-fuzzy logic for the optimization of the manufacturing process
TL;DR: In this article, the use of the grey-fuzzy logic based on orthogonal array for optimizing the electrical discharge machining process with multi-response has been reported.